January 1, 2016Procedia TechnologyOpen Access

Non-linear Methods in HRV Analysis

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Population

Signals from MIT-BIH Long Term ECG database

Comparison

Detrended fluctuation analysis of RR time… vs Shorter time series

Design

Other

Authors

ZGZoltán Germán-SallóTechnical University of Cluj-Napoca MGMárta Germán-SallóUniversitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș

Discussion

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Implication

HRV methods may aid early cardiac disease detection; leaves open validation of nonlinear metrics in prospective trials.

Structured PICO

Population

Signals from MIT-BIH Long Term ECG database

Intervention

Detrended fluctuation analysis of RR time intervals and of their discrete wavelet transforms

Comparator

Shorter time series

Outcome

Long term significant variations in the studied signalssurrogate

Detrended fluctuation analysis of RR time intervals and discrete wavelet transforms can be used to find long-term significant variations in HRV signals.

Cite This Study

Germán-Salló et al. (2016) studied this question.

synapsesocial.com/papers/6a6f9506f44fa9f079dd0af6 https://doi.org/10.1016/j.protcy.2016.01.134

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Non-linear Methods in HRV Analysis

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Non-linear Methods in HRV Analysis

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider